Deciphering transcription regulation: from individual sites to cell type specific expression

author: Uwe Ohler, Institute for Genome Sciences & Policy, Duke University
published: Oct. 23, 2012,   recorded: September 2012,   views: 2842


Related Open Educational Resources

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.


Understanding how transcription regulation is encoded in the genomes of complex multicellular organisms has been a big challenge, not least due to the large non-coding space where relevant interactions might occur. High throughput technologies now allow it to map putative regulatory regions via their chromatin structure, and have made rapid progress in identifying in vivo binding of transcription factors to DNA at high resolution. Large collections of relevant data have been made available by individual groups as well as large consortia such as mod/ENCODE. I will discuss some of our recent and ongoing efforts that make use of such datasets to define successful computational models for individual sites as well as for cell-type specific expression.

See Also:

Download slides icon Download slides: mlsb2012_ohler_transcription_01.pdf (1.8┬áMB)

Help icon Streaming Video Help

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: